Sisense
Embedded AI analytics platform for shipping governed, white-labeled analytics inside your own product.
By Sisense · HQ New York City, US · 4.5/5 Value-Position score (estimate)
Positioning guardrails
Best for
- SaaS and product teams that need to embed white-labeled analytics and AI into their own application
- Enterprises in regulated industries needing multi-tenant isolation, column-level security and SSO
- Teams that want AI assistants grounded in governed metrics and row-level security
- Deployments that must run on SaaS, in the customer's own cloud (AWS, Azure, GCP), or on-prem
Ideal size: 50+ (with product engineering capacity) people · Scale-up or enterprise shipping a customer-facing analytics product
Not for
- Teams that only need an internal BI dashboard and no embedding or developer work
- Buyers who want transparent published pricing and instant self-serve enterprise provisioning
- Organisations without engineering resources to integrate APIs, SDKs or embed paths
Value metrics scorecard
Time-to-Value
~1 week (self-serve)
~7 days to first production value
Total Cost of Ownership
On request
Not published: free/try self-serve tier; enterprise priced by custom quote (SaaS, dedicated cloud or on-prem)
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published - enterprise plan scoped per contract
Add-on costs
- None
Company & support
Who is behind Sisense, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- New York City, US
How you get support
- PhoneNot listed
- EmailPlan not stated
- Live chatPlan not stated
- Support portal / ticketsPlan not stated
- Community forumPlan not stated
- Help centre / docsPlan not stated
- Dedicated account managerEnterprise only
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Support portal for submitting and managing cases, a knowledge base/help centre, community and Discord. Sisense Cloud for Data Teams via in-app chat or email; enterprise plans list premium support and a dedicated customer success manager.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Sisense sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Sisense
- LEAP
- NextGen Healthcare
- actiTIME
- Procore
- Benepass
Add or change companies
Up to 10 companies including Sisense. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Sisense ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor pages describe an assistant for plain-language questions, search over data, auto-narratives/explanations, and pulse/forecast/trend signals. AI is grounded in governed semantics, tenant-safe access and row-level security; enterprise plans can bring their own LLM.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Included in the plan
In your ecosystem
- AI connection
- Not supported
- Model key
- Either
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Sisense is an embedded analytics platform that lets software companies put AI-driven analytics inside their own products, under their own brand. It connects to existing warehouses and databases, embeds via iframe or Compose SDK, and grounds AI assistants in governed metrics, tenant-safe access and row-level security. Deployment options include Sisense SaaS, the customer's own cloud (AWS, Azure, GCP), or on-prem, with a free self-serve tier and a custom enterprise plan that can bring its own LLM.
Frequently asked questions
Is Sisense an internal BI tool or an embedded analytics platform?
It is positioned primarily as an embedded platform: analytics and AI delivered inside the software you ship, white-labeled to your brand. Teams embed it with iframe or the Compose SDK and control access with multi-tenant architecture, row-level security and SSO, rather than using it only as a standalone internal dashboard.
How is Sisense priced?
Sisense does not publish list prices. There is a self-serve path aimed at startups and growing teams that you can try free, and an enterprise plan that is quoted per contract based on deployment model (Sisense SaaS, your own cloud or on-prem) and requirements such as a 99.99% premium SLA. Budget for a sales scoping cycle and a custom quote.
Can we plug in our own LLM?
The enterprise plan explicitly offers 'bring your own LLM' alongside the Sisense Intelligence AI suite, so you can govern which model answers your customers. The self-serve tier ships built-in AI for natural-language queries, auto-narratives and an assistant. Confirm model hosting and governance details during scoping.
How does Sisense keep one customer's data out of another's answers?
The vendor describes a native multi-tenant architecture that isolates each customer's data across environments, with row-level security enforced at the query layer plus column-level security, SSO Router and custom security policies on enterprise plans. That isolation is the core control for AI answers delivered into shared products.
What support and implementation help is available?
There is a support portal for cases, a knowledge base, community and Discord channels, and email or in-app chat support for Sisense Cloud for Data Teams. Enterprise customers get premium support, hands-on help with development, data modelling and technical implementation, and a dedicated customer success manager.